Radio frequency leakage detection in a cable plant

ABSTRACT

Embodiments provided describe detections of RF leakage test signal emanating from cable plant. In one embodiment a single mobile receive antenna, connected to a complex demodulator mobile receiver, receives a stabilized test signal radiating from the cable plant. The test signal may be a known continuous wave (CW) carrier or other deterministic signal. The received test signal varies in phase as a function of a position of the mobile receive antenna relative to the location of a leakage antenna. The phase variance forms a Doppler shift as the test antenna moves relative to the leakage antenna. The receiver generates multiple in-phase (I) and quadrature (Q) test signal samples over a SPA (synthetic phased array) distance as the test antenna&#39;s travels, and the samples are inserted into a Fourier transform. The result of the transform is instantaneous Doppler frequency shift, from which a bearing angle can be computed.

CROSS REFERENCE TO RELATED APPLICATIONS

The present application is a continuation of U.S. application Ser. No.15/276,263 (filed Sep. 26, 2016) entitled “RADIO FREQUENCY LEAKAGEDETECTION IN A CABLE PLANT,” which application is a continuation in partof U.S. application Ser. No. 14/812,916 (filed Jul. 29, 2015) entitled“RADIO FREQUENCY LEAKAGE DETECTION IN A CABLE PLANT,” which applicationclaims priority to, and thus the benefit of, an earlier filing datefrom, U.S. Provisional Patent Application No. 62/030,345 (filed Jul. 29,2014) entitled “LOCATING/IDENTIFYING CABLE PLANT ISSUES”, U.S.Provisional Patent Application No. 62/054,529 (filed Sep. 24, 2014)entitled “VARIOUS COMMUNICATION SYSTEMS AND METHODS”, and U.S.Provisional Patent Application No. 62/146,848 (filed on Apr. 13, 2015)entitled “SIGNAL LEAKAGE DETECTION USING SYNTHETIC PHASED ARRAYS”, allof which are hereby incorporated by reference.

FIELD

This disclosure relates to the field of Radio Frequency (RF) signaldetection, and in particular, to detecting RF leaks from a cable plantof a cable system operator.

BACKGROUND

Cable system operators use Radio Frequency (RF) signals transmitted overcoaxial cables to provide television and data services to customers.Normally these RF signals do not cause interference when in compliancewith Federal Communication Commission (FCC) rules that limitinterference. However, in some cases the RF signals can leak. Cablesignal leaks occur when the RF signals transmitted within the cablesystem are not contained within the cable plant. Cable signal leaks maybe caused by loose connectors, damaged cables, unshielded housings, orunterminated cables.

A cable plant uses many of the same frequencies to transmit programmingas licensed to over-the-air broadcasters. Cable operators are consideredby the FCC to be secondary users of these frequencies, so they areprecluded from interfering with licensed users who are the primary usersof these frequencies.

Cable signal leakage can interfere with the over-the-air services thatare using the same frequencies as the cable plant near the vicinity ofan RF leak. This can interfere with ham radio operators, cellular radio,emergency responders, and aircraft navigation systems. When interferencefrom the cable plant occurs, it can hamper or endanger others.

The FCC has set maximum individual signal leakage levels for cablesystems. The FCC is stricter with signal leakage levels for cablesystems that interfere with aeronautical and/or navigationcommunications. Therefore, the FCC requires cable operators to have aperiodic, on-going program to inspect, locate, and repair RF leaks intheir cable plants. However, locating RF leaks in a cable plant can bedifficult and time consuming, due to the complexity and size of atypical cable plant.

Cable system operator use Radio Frequency (RF) signals transmitted overcoaxial cables to provide television and data services to customers.Normally these RF signals do not cause interference when the shieldingintegrity is good, but sometime damage occurs. Damage may be caused bycorrosion, animal chews, craft error, or mechanical stress. When thereis damage to cable shielding, cable signals may leak out causinginterference with wireless services. Many of the RF frequencies usedinside the coaxial cable are the same frequencies used for a variety ofwireless communication services, such as aviation signals, Ham radiosignals, broadcast signals and wireless LTE (long term evolution) 2-waycommunications. Additionally, when there is shield damage allowingsignal egress, it may be accompanied by signal ingress, where cableservices are negatively affected by wireless signals or electricalnoise. The FCC has published leakage limits for field strength. Onelimitation with legacy leakage detection equipment is that when adistance between the leakage signal's source and a receiving antenna isnot known, it is not possible to calculate if the field strength exceedsFCC limits at a test distance, which may be at 3 meters or 30 meters.Thus, there is a need to know measurement distance to calculate if adetected leak exceeds FCC limits.

SUMMARY

Embodiments described herein provide for the detection of RF leaks in acoaxial cable of a cable plant utilizing various analytical techniquesthat are applied to the RF signals emitted from the RF leaks. Theseanalytical techniques provide information about an RF leak that reducesthe amount of effort and time that may be required to locate the RF leakin the cable plant.

One embodiment comprises a mobile device that is configured to detect RFleaks emanating from a coaxial cable of a cable plant. The mobile deviceincludes an antenna that is configured to receive an RF signal from anRF leak in the coaxial cable. The mobile device further includes aquadrature demodulator that is configured to demodulate the RF signal togenerate In-phase and Quadrature (IQ) data, and a controller. Thecontroller is configured to determine changes in a phase angle of the RFsignal based on the IQ data generated as the mobile device is in motion.The controller is further configured to identify that the mobile deviceis travelling toward the RF leak responsive to determining that thephase angle is advancing, and to identify that the mobile device istravelling away from the RF leak responsive to determining that thephase angle is retarding.

Another embodiment comprises a method for detecting RF leaks emanatingfrom a coaxial cable of a cable plant. The method comprises receiving,by an antenna of a mobile device, an RF signal from an RF leak in thecoaxial cable. The method further comprises demodulating the RF signalto generate IQ data, and determining changes in a phase angle of the RFsignal based on the IQ data generated as the mobile device is in motion.The method further comprises identifying that the mobile device istravelling towards the RF leak responsive to determining that the phaseangle is advancing, and identifying that the mobile device is travellingaway from the RF leak responsive to determining that the phase angle isretarding.

Another embodiment is a non-transitory computer readable mediumembodying programmed instructions which, when executed by a processor ofa mobile device, detects RF leaks emanating from a coaxial cable of acable plant. The instructions direct the processor to receive, by anantenna of the mobile device, an RF signal from an RF leak in thecoaxial cable. The instructions further direct the processor todemodulate the RF signal to generate IQ data, and to determine changesin a phase angle of the RF signal based on the IQ data generated as themobile device is in motion. The instructions further direct theprocessor to identify that the mobile device is traveling towards the RFleak responsive to determining that the phase angle is advancing. Theinstructions further direct the processor to identify that the mobiledevice is traveling away from the RF leak responsive to determining thatthe phase angle is retarding.

The above summary provides a basic understanding of some aspects of thespecification. This summary is not an extensive overview of thespecification. It is intended to neither identify key or criticalelements of the specification nor delineate any scope particularembodiments of the specification, or any scope of the claims. Its solepurpose is to present some concepts of the specification in a simplifiedform as a prelude to the more detailed description that is presentedlater.

Embodiments described herein provide for the detection of RF leaks incoaxial network utilizing various analytical techniques that are appliedto RF signals emitted from the RF leaks, or probing RF signals appliedto the coaxial network to discover shielding defects. These analyticaltechniques provide information about shielding defects that reduce theamount on time and effort that may be required to locate and repair theshielding defect.

In one embodiment a mobile test antenna receives a leakage test signalradiated from a leakage antenna created by a shield break in the cableplant. The antenna is connected to a mobile receiver with a complexdemodulator producing in-phase (I) and quadrature (Q) samplesperiodically. I-Q samples, which contain information about the magnitudeand phase of one or more leakage antennas, are inserted into a Fouriertransform, which produce Doppler frequency components for each leakageantenna. The Doppler frequency components may each be processed with anarc cosine function to reveal bearing angles to each leakage antenna, aswell as strength of the leakage signal. After the mobile antenna moves adistance, the intersection of another bearing angle with the firstbearing angle reveals the position of the leaks.

In another embodiment another embodiment a second mobile test antenna isused to resolve whether the leak is on the left or right side of thedrive path.

In another embodiment, a mobile transmit antenna, connected to a mobiletest signal transmitter, transmits a leakage signal which is received bya leakage antenna and relayed over cable line to a stationary receiver.The position of the mobile transmit antenna during the test may be sentwirelessly to a stationary receiver, so the latitude and longitude ofthe leakage antennas can be determined.

In another embodiment a second mobile transmitting antenna is used toresolve left-right ambiguity.

In another embodiment a single antenna with a position reportingcapability is moved by a technician, and I-Q field strength is recordedalong with position as the antenna is moved. The result is a spatial mapof electromagnetic field in a space that is analyzed for the leakagesource.

DESCRIPTION OF THE DRAWINGS

Some embodiments are now described, by way of example only, and withreference to the accompanying drawings. The same reference numberrepresents the same element or the same type of element on all drawings.

FIG. 1 is a block diagram of a mobile device that detects RF leaksemanating from a coaxial cable of a cable plant in an exemplaryembodiment.

FIG. 2 is flow chart of a method for detecting RF leaks emanating from acoaxial cable of a cable plant in an exemplary embodiment.

FIG. 3 is a flow chart of another method for detecting an RF leakemanating from a coaxial cable plant in an exemplary embodiment.

FIG. 4 illustrates a first spatial cone along an x-axis in an exemplaryembodiment.

FIG. 5 is a flow chart of a method of determining a bearing to an RFleak emanating from a coaxial cable of a cable plant in an exemplaryembodiment.

FIG. 6 illustrates a second spatial cone along a y-axis in an exemplaryembodiment.

FIG. 7 illustrates two possible bearings to an RF leak in an exemplaryembodiment.

FIG. 8 illustrates a third spatial cone along a z-axis in an exemplaryembodiment.

FIG. 9 illustrates the mobile device of FIG. 1 in another exemplaryembodiment.

FIG. 10 is a flow chart of another method for determining a bearing toan RF leak emanating from a coaxial cable of a cable plant in anexemplary embodiment.

FIG. 11 is a flow chart of a method for determining if multiple RF leaksexist in a coaxial cable of a cable plant in an exemplary embodiment.

FIG. 12 is a block diagram of the mobile device of FIG. 1 in anotherexemplary embodiment.

FIG. 13 is a flow chart of another method for detecting RF leaksemanating from a coaxial cable of a cable plant in an exemplaryembodiment.

FIG. 14 is a block diagram of the mobile device of FIG. 1 in anotherexemplary embodiment.

FIG. 15 illustrates spatial cones that are not located at the origin inan exemplary embodiment.

FIG. 16 is a block diagram of an exemplary computing system in which acomputer readable medium provides instructions for performing themethods described herein.

FIG. 17 illustratively represents a system utilizing a single receiveantenna for locating leakage antennas, in an embodiment.

FIG. 18 illustratively represents a system utilizing a two transmitantennas for locating leakage antennas, in an embodiment.

FIG. 19 is a diagram showing two Doppler frequency vs. distance plots todetermine if leak is on the left or right, in an embodiment.

FIG. 20 illustratively represents moving an antenna in a space todetermine from the mapped electromagnetic field in that space whereleakage antennas are located, in an embodiment.

DESCRIPTION

The figures and the following description illustrate specific exemplaryembodiments. It will thus be appreciated that those skilled in the artwill be able to devise various arrangements that, although notexplicitly described or shown herein, embody the principles of theembodiments and are included within the scope of the embodiments.Furthermore, any examples described herein are intended to aid inunderstanding the principles of the embodiments, and are to be construedas being without limitation to such specifically recited examples andconditions. As a result, the inventive concept(s) is not limited to thespecific embodiments or examples described below, but by the claims andtheir equivalents.

FIG. 1 is a block diagram of a mobile device 100 that detects RF leaksemanating from a coaxial cable of a cable plant in an exemplaryembodiment. For purposes of discussion, a coaxial cable 102 isillustrated in FIG. 1 that is part of a cable plant. Coaxial cable 102includes an inner conductor (not shown) that is surrounded by a tubularinsulation layer (not shown). The tubular insulation layer is surroundedby a tubular outer shield (not shown).

In this embodiment, coaxial cable 102 is utilized by a cable operator todistribute television and/or data services to customers. Cable operatorstypically transmit using some of the same frequencies over coaxialcables (e.g., coaxial cable 102) that are licensed for over-the-airbroadcasts. For instance, a cable plant may utilize frequencies of up toabout 1 gigahertz (GHz), which may interfere (if there are RF leaks)with any number of critical radio services in the US, such as local firedepartments (154.28 MHz), local and state search and rescue (155.160MHz), National Guard (163.4875 MHz), the US Air Force (311.00 MHz), andmany others.

To prevent the cable plant from interfering with licensed spectrum, theFCC requires that cable operators routinely inspect their cable plantsto determine if any RF leaks are present. For purposes of discussion,coaxial cable 102 in FIG. 1 is illustrated with an RF leak 104 that isdetectable by mobile device 100.

RF leak 104 may be caused by damage to coaxial cable 102. Some examplesof the types of damage that may occur at coaxial cable 102 includebroken tubular outer shields, loose connectors, damaged RF gaskets onhousings, etc. In this embodiment RF leak 104 generates an RF signal110, which corresponds with an RF test signal 106 that is transmittedalong coaxial cable 102. RF test signal 106 may be a Continuous Wave(CW) test signal in some embodiments. For instance, RF test signal 106may be an 800 megahertz (MHz) CW signal that is injected along coaxialcable 102 to allow mobile device 100 to detect RF leak 104. However, 800MHz is just one possible frequency that may be transmitted along coaxialcable 102, with other options being any frequency that may be supportedby the bandwidth of coaxial cable 102. In some embodiments, RF testsignal 106 may include pilot signals that are used for automatic gainand slope control of data signals transmitted by coaxial cable 102. RFtest signal 106 may also include data signals utilized by a cable plantto provide television and/or data services to customers in someembodiments.

In this embodiment, mobile device 100 includes an antenna 108 that iscapable of receiving RF signal 110 that is generated by RF leak 104.Antenna 108 includes any electrical device that is able to convert RFsignal 110 into an electrical current and/or voltage. Mobile device 100also includes a quadrature demodulator (QD) 112, that generates IQ data114. Quadrature demodulation is sometimes referred to as IQdemodulation, or complex demodulation. QD 112 demodulates RF signal 110,and generates both an in-phase component (I) and a quadrature component(Q) of RF signal 110 relative to a frequency source (not shown) used fordemodulation. For instance, if RF test signal 106 is a 800 MHz CW testsignal, then the QD 112 may utilize an 800 MHz frequency source todemodulate RF signal 110 and generate IQ data 114, which would representchanges in the phase and magnitude of RF signal 110. QD 112 in thisembodiment includes any electronic device that is able to demodulate RFsignal 110, and to generate both an in-phase and a quadrature componentfor RF signal 110.

IQ data 114 is proved to a controller 116, which is able to analyze IQdata 114 to enable mobile device 100 to detect information about RF leak104. For instance, controller 116 may be able to analyze IQ data 114 toidentify whether mobile device 110 is moving toward or away from RF leak104, may be able to analyze IQ data 114 to determine a bearing and/or alocation of RF leak 104, may be able to analyze IQ data 114 to identifyfrequency shifts in RF signal 110 etc. To do so, controller 116 mayutilize any electronic device that is capable of performing suchfunctionality. While the specific hardware implementation of controller116 is subject to design choices, one particular embodiment may includeone or more processors 118 coupled with a memory 120. Processor 118includes any electronic device that is able to perform functions.Processor 118 may include one or more Central Processing Units (CPU),microprocessors, Digital Signal Processors (DSPs), Application-specificIntegrated Circuits (ASICs), etc. Some examples of processors includeIntel® Core™ processors, ARM® processors, etc.

Memory 120 includes any electronic device that is able to store data.For instance, memory 120 may store IQ data 114 during processing. Memory120 may include one or more volatile or non-volatile Dynamic RandomAccess Memory (DRAM) devices, FLASH devices, volatile or non-volatileStatic RAM devices, hard drives, Solid State Disks (SSDs), etc. Someexamples of non-volatile DRAM and SRAM include battery-backed DRAM andbattery-backed SRAM.

Mobile device 100 in some embodiments includes a display 122, whichallows a user (not shown in FIG. 1) to interact visually with mobiledevice 100. Display 122 includes any electronic device that is capableof displaying information to a user. One example of display 122 includesa Liquid Crystal Display (LCD), which may include a touch interface thatallows the user to control mobile device 100.

Consider that a user is in the field with mobile device 100, and isattempting to locate RF leak 104 in coaxial cable 102. RF test signal106 is transmitted along coaxial cable 102 during the testing process.RF test signal 106 may be introduced at a downstream portion of thecable plant relative to coaxial cable 102, may include pilot or trainingsignals utilized by the cable plant, and/or may include data signalsprovided by the cable plant to customers.

FIG. 2 is flow chart of a method 200 for detecting RF leaks emanatingfrom a coaxial cable of a cable plant in an exemplary embodiment. Method200 will be discussed with respect to mobile device 100, although method200 may be performed by other systems, not shown. The steps of the flowcharts described herein may include other steps that are not shown.Also, the steps of the flow charts described herein may be performed inan alternate order.

Mobile device 100 begins the testing phase of coaxial cable 102 byreceiving RF signal 110 at antenna 108 (see step 202 of FIG. 2). To doso, a user may carry mobile device 100 proximate to coaxial cable 102, auser may be driving nearby coaxial cable 102 with mobile device 100 in avehicle, etc. The RF signal 110 is demodulated by QD 112 to generate IQdata 114, which is provided to processor 118 of controller 116. In someembodiments, RF test signal 106 may comprise a CW test signal at a knownfrequency. In this case, QD 112 may use a reference source at the knownfrequency to demodulate RF signal 110, with IQ data 114 representing thein-phase (I) and quadrature (Q) differences between RF signal 110 andthe source. In other embodiments, RF test signal 106 may comprise abroadband test signal having a pre-determined pattern. For instance, RFtest signal 106 may comprise pre-defined Orthogonal Frequency DivisionMultiplexed (OFDM) test patterns, such as pilot subcarriers used in DataOver Cable Service Interface Specification (DOSCIS®) used by acustomer's cable modem to adapt to changing channel conditions.

Processor 118 analyzes IQ data 114, and determines changes in a phaseangle of RF signal 110 generated as mobile device 100 is in motion (seestep 206). For instance, processor 118 may monitor changes in the phaseangle as the user carries mobile device 100 along coaxial cable 102.Changes to the phase angle result from mobile device 100 moving withrespect to RF leak 104. For instance, if RF test signal 106 is an 800MHz CW signal, then a wavelength of RF signal 110 generated by RF leak104 is about 37.5 centimeters (cm). As mobile device 100 is moved closerto RF leak 104, the phase angle of RF signal 110 advances. For example,if mobile device 100 is moved 10 cm directly towards RF leak 104, thenprocessor 118 would be able to determine that the phase angle of RFsignal 110 advances by about (10/37.5)*360 degrees, or about 96 degrees.In like manner, if mobile device 100 is moved 10 cm directly away fromRF leak 104, then processor 118 would be able to determine that thephase angle of RF signal 110 is retarding by about 96 degrees. However,it is not necessary that mobile device 100 be traveling directly towardor away from RF leak 104 in order to identify changes in the phase angleof RF signal 110.

If processor 118 determines that the phase angle of RF signal 110 isretarding, then processor 118 will identify that mobile device 100 istraveling away from RF leak 104 (see step 208). For instance, processor118 may indicate such on display 122 in some embodiments. If processor118 determines that the phase angle of RF signal 110 is advancing, thenprocessor 118 will identify that mobile device 100 is traveling towardsRF leak 104 (see step 210). For instance, processor 118 may indicatesuch on display 122 in some embodiments.

Accurately identifying small changes in the phase angle of RF signal 110may depend upon a number of factors, including the stability of thefrequency of RF test signal 106, the stability of the source frequencyused by QD 112 to demodulate RF signal 110, etc. Therefore, mobiledevice 100 may include a highly stable frequency source. For instance,mobile device 100 may include a Rubidium-based frequency standard and/oran oscillator locked to a Global Positioning System (GPS) signal, whichmay be used by QD 112 to demodulate RF signal 110.

FIG. 3 is a flow chart of another method 300 of detecting an RF leakemanating from a coaxial cable plant in an exemplary embodiment. Method300 will be discussed with respect to mobile device 100, although method300 may be performed by other systems, not shown. In this embodiment,information about RF leak 104 can be determined by determining phasechanges in RF signal 110 when mobile device 100 changes locations andconstraining possible bearings to RF leak 104 based on a relationshipbetween changes in the phase angle and the distance between thelocations.

Consider that mobile device 100 is located at a first location, whichfor purposes of discussion is the origin (0,0) of an x-y coordinatesystem. Starting at the origin, if mobile device 100 is moved along thex-axis a small incremental amount Δx, then an angle θ₁ can be computedwhich will describe a first spatial cone along the x-axis in3-dimensions. An apex angle of the first spatial cone will be twice θ₁,and will be at the origin. θ₁ is calculated based on a relationshipbetween the actual phase change of RF signal 110 between (0,0) and(0+Δx, 0), and the phase change that would be expected if mobile device100 was moved directly towards RF leak 104.

Processor 118 analyzes IQ data 114 generated at a first location (0,0)to determine a first phase angle of RF signal 110 based on IQ data 114generated at the first location (see step 302 of FIG. 3). Mobile device100 is moved to a second location (0+Δx, 0), and processor 118determines a second phase angle of RF signal 110 based on IQ data 114generated at the second location (see step 304). The distance betweenthe origin (0,0) and (0+Δx, 0) can be determined by mobile device 100(e.g., utilizing an accelerometer, GPS signals, etc.), and used tocalculate an expected phase shift in RF signal 110 that would occur ifRF leak 104 were located along the x-axis. For instance, if RF testsignal 106 is an 800 MHz CW test signal, then the wavelength would be37.5 cm. Therefore, one would expect that if mobile device 100 was moved37.5 cm along the x-axis, that a phase rotation between the first phasedetermined at (0,0) and the second phase determined at (0+Δx, 0) wouldbe 360 degrees. If the phase difference between (0,0) and (0+Δx, 0) wereinstead only 270 degrees, then θ₁ is related to 270/360. In particular,θ₁ may be calculated as the Arc cosine of (270/360), which is 41.4degrees. The apex angle of the first spatial cone is therefore 2 θ₁, or82.8 degrees, which is calculated based on the phase difference and thedistance between the first location and the second location (see step306). A first spatial cone 402 is illustrated in FIG. 4, which islocated at (0,0) and lies along the x-axis. The apex angle for firstspatial cone 402 is 2 θ₁, and RF leak 104 lies along a surface generatedby first spatial cone 402. Fist spatial cone 402 therefore confinespossible locations of RF leak 104 to its surface. Similar calculationcan be performed along the y-axis to generate a second spatial cone andthe z-axis to generate a third spatial cone that further constrains thepossible locations of RF leak 104.

FIG. 5 is a flow chart of a method 500 of determining a bearing to an RFleak emanating from a coaxial cable of a cable plant in an exemplaryembodiment. Method 500 will be discussed with respect to mobile device100, although method 500 may be performed by other systems, not shown.

Starting at the origin (0,0), if mobile device 100 is moved along thevertical y-axis a small incremental amount Δy, then an angle θ₂ can becomputed which will describe a second spatial cone along the y-axis in3-dimensions. An apex angle of the second spatial cone will be twice θ₂,and will be at the origin. θ₂ is calculated based on a relationshipbetween the actual phase change of RF signal 110 between (0,0) and (0,0+Δy), and the phase change that would be expected if mobile device 100was moved directly towards RF leak 104. In this embodiment, the y-axisis orthogonal to the x-axis, and the second spatial cone furtherconstrains possible locations of RF leak 104 along a surface of thesecond spatial cone.

Mobile device 100 is moved to a third location (0, 0+Δy), and processor118 determines a third phase angle of RF signal 110 based on of IQ data114 at the third location (see step 502). The distance between theorigin (0,0) and (0, 0+Δy) can be determined by mobile device 100, andused to calculate an expected phase shift in RF signal 110 that wouldoccur if RF leak 104 were located along the y-axis. For instance, if RFtest signal 106 is an 800 MHz CW test signal, then the wavelength wouldbe 37.5 cm. Therefore, one would expect that if mobile device 100 wasmoved 37.5 cm along the y-axis, that a phase rotation between the firstphase determined at (0,0) and the second phase determined at (0, 0+Δy)would be 360 degrees. If the phase difference between (0,0) and (0,0+Δy) were instead only 200 degrees, then θ₂ is related to 200/360. Inparticular, θ₂ may be calculated as the Arc cosine of (200/360), whichis 56.3 degrees. The apex angle of the second spatial cone is therefore2 θ₂, or 102.6 degrees, which is calculated based on the phasedifference and the distance between the first location and the thirdlocation (see step 504). A second spatial cone 602 is illustrated inFIG. 6. The apex angle for second spatial cone 602 is 2 θ₂. Using theapex angles calculated for first spatial cone 402 and second spatialcone 602, processor 118 is able to determine bearings to RF leak 104that are based on the intersection between first spatial cone 402 andsecond spatial cone 602, which occurs along lines 604-605 in FIG. 6. Abearing to RF leak 104 will lie on one of lines 604-605. Processor 118may indicate bearings to RF leak 104 on display 122 in some embodiments.If the elevation along a z-axis of RF leak 104 is known, then theelevation may be used to determine which lines 604-605 are the correctbearing. If the elevation along the z-axis of RF leak 104 is not known,then which of lines 604-605 is the correct bearing to RF leak 104 can becalculated using similar techniques as described above for the x-axisand y-axis spatial cones along the z-axis.

Consider that mobile device 100 is located at the first location, whichis the origin (0,0,0) of an x-y-z coordinate system illustrated in FIG.7. FIG. 7 illustrates two possible bearings to an RF leak in anexemplary embodiment. First spatial cone 402 and second spatial cone 602have been removed for clarity, leaving behind lines 604-605 thatrepresent possible bearings to RF leak 104. Starting at the origin, ifmobile device 100 is moved along the z-axis a small incremental amountΔz, then an angle θ₃ can be computed which will describe a third spatialcone along the z-axis in 3-dimensions. An apex angle of the thirdspatial cone will be twice θ₃, and will be at the origin. θ₃ iscalculated based on a relationship between the actual phase change of RFsignal 110 between (0,0,0) and (0,0,0+Δz), and the phase change thatwould be expected if mobile device 100 was moved directly towards RFleak 104. In this embodiment, the z-axis is orthogonal to both thex-axis and the y-axis, and the third spatial cone further constrainspossible locations of RF leak 104 along a surface of the third spatialcone.

Mobile device 100 is moved to a third location (0,0,0+Δz), and processor118 determines a fourth phase angle of RF signal 110 based on IQ data114 at the third location (see step 506 of FIG. 5). The distance betweenthe origin (0,0,0) and (0,0,0+Δz) can be determined by mobile device100, and used to calculate an expected phase shift in RF signal 110 thatwould occur if RF leak 104 were located along the z-axis. For instance,if RF test signal 106 is an 800 MHz CW test signal, then the wavelengthwould be 37.5 cm. Therefore, one would expect that if mobile device 100was moved 37.5 cm along the x-axis, that a phase rotation between thefirst phase determined at (0,0,0) and the fourth phase determined at(0,0,0+Δz) would be 360 degrees. If the phase difference between (0,0,0)and (0,0,0+Δz) were instead only 250 degrees, then θ₃ is related to250/360. In particular, θ₃ may be calculated as the Arc cosine of(250/360), which is 46 degrees. The apex angle of the third spatial coneis therefore 2 θ₃, or 92 degrees, which is calculated based on the phasedifference and the distance between the first location and the fourthlocation (see step 508). A third spatial cone 802 is illustrated in FIG.8, which is located at (0,0,0) and lies along the z-axis. The apex anglefor third spatial cone 802 is 2 θ₃, and processor 118 determines line604 is a bearing of RF leak 104 based on an intersection 804 betweenfirst spatial cone 402, second spatial cone 602, and third spatial cone802 (see step 510). Processor 118 may indicate the bearing on display122 of mobile device 100 in some embodiments.

FIG. 9 illustrates mobile device 100 in another exemplary embodiment. Inthis embodiment, mobile device 100 includes a member 902 that isconfigured to rotate about an axis 904. In this embodiment, antenna 108is mounted to member 902 at a radius 906 from axis 904, and rotatesabout axis 904 as member 902 rotates. As antenna 108 rotates in thedirection indicated in the arrow in FIG. 9, a phase angle 908 of RFsignal 110 advances and retards. FIG. 10 is a flow chart of anothermethod 1000 for determining a bearing to an RF leak emanating from acoaxial cable of a cable plant in another exemplary embodiment.Processor 118 determines a maximum rate of change (e.g., the firstderivative) of phase angle 908 that is generated as antenna 108 rotatesabout axis 904 (see step 1002 of FIG. 10). A bearing angle θ_(b) of RFleak 104 can be determined by processor 118 based on a position ofantenna 108 at the maximum rate of change as member 902 rotates (seestep 1004). A tangent from the direction of rotation at point B, wherethe slope of phase 908 is at a maximum, can be determined from θ_(b).Tangent point A will be 180 degrees opposed. A bearing from mobiledevice 100 to RF leak 104 may be indicated on display 122 by processor118 in some embodiments.

In Another embodiment, mobile device 100 performs an Inverse FastFourier Transform (IFFT) on IQ data 114 to generate IFFT data, andattempts to determine if multiple RF leaks are present in coaxial cable102. FIG. 11 is a flow chart of a method 1100 for determining ifmultiple RF leaks exist in a coaxial cable of a cable plant in anexemplary embodiment. In this embodiment, RF test signal 106 is awideband RF signal. Some other examples of RF test signal 106 includechirps, sin(x)/x waveforms, pseudo-noise sequences, and Zadoff-Chusequences.

During operation, processor 118 performs an IFFT on samples of IQ data114 to generate IFFT data (see step 1102). Processor 118 determines ifat least two RF sources are indicated in the IFFT data (see step 1104).If only one RF source is indicated, then method 1100 ends. If at leasttwo RF sources are indicated, then processor 118 determines if a phaseof each of the RF sources corresponds as mobile device 100 changeslocations (see step 1106). Even if two RF sources are identified in theIFFT data, one RF source may be a reflection of another RF source. Ifthe phases correspond, then processor determines that only one RF leakexists in coaxial cable 102 (see step 1108). However, if the phases donot correspond, then processor 118 determines that at least two RF leaksexist in coaxial cable 102 (see step 1110).

In some embodiments, RF test signal 106 may DOCSIS® pilot signals thatare typically transmitted by coaxial cable 102 while providingtelevision and/or data services to customers. The pilot signals do notcarry data, and are utilized to characterize the RF channel in coaxialcable 102. In another embodiment, mobile device 100 captures a full setof pilot subcarrier signals at the subcarrier frequencies of the pilotsignals, and combines the pilot signals into an OFDM frame. Processor118 is then able to perform an IFFT on IQ data 114 for the OFDM frame,which generates one or more impulse responses. If the impulses are theresult of two or more RF leaks in coaxial cable 102, or the leaks havemultipath issues, then the delays of the different impulses will varyfrom each other as mobile device 100 changes locations. If the delaychanges of the individual impulses are tracked as the antenna is moved,each leak can be individually identified and a spatial cone may becreated for each leak.

FIG. 12 is a block diagram of mobile device 100 in another exemplaryembodiment. In this embodiment, mobile device 100 is able to process IQdata 114 while mobile device 100 is in motion, and determine changes ina frequency 1202 of RF signal 110. For instance, mobile device 100 maybe placed in a vehicle, and driven along a road that is proximate tocoaxial cable 102. Changes in frequency 1202 provide information tomobile device 100 regarding whether mobile device 100 is travelingtoward RF leak 104 or away from RF leak 104. In this embodiment, RF testsignal 106 is a test signal at a known frequency.

FIG. 13 is a flow chart of another method 1300 for detecting RF leaksemanating from a coaxial cable of a cable plant in an exemplaryembodiment. Processor 118 determines changes in frequency 1202 of RFsignal 110 as mobile device 100 is in motion (see step 1302). Iffrequency 1202 of RF signal 110 is higher than the known frequency of RFtest signal 106, then processor 118 identifies that that mobile device100 is traveling towards RF leak 104 (see step 1304). If frequency 1202of RF signal 110 is lower than the predetermined frequency of RF testsignal 106, then processor 118 identifies that mobile device 100 istraveling away from RF leak 104 (see step 1306). A distance 1212 betweenmobile device 100 and RF leak 104 may be estimated in some embodimentsbased on the rate at which frequency 1202 transitions. For example,using a slope of frequency 1202 in transition region 1204. The slope maybe higher as distance 1212 decreases.

In another embodiment, mobile device 100 is capable identifying abearing towards RF leak 104 based on a transition region 1204 offrequency 1302 of RF signal 110. As mobile device 100 transitions fromtravelling toward RF leak 104 to travelling away from RF leak 104,frequency 1204 of RF signal 110 changes from being higher than the knownfrequency of RF test signal 106 to being lower than the known frequencyof RF test signal 106. Transition region 1204 can be analyzed byprocessor 118 to identify a bearing towards RF leak 104. In this case, azero crossing point 1206 allows processor 118 to identify a bearing 1208to RF leak 104 that may be orthogonal to a direction of travel 1210 ofmobile device. Using multiple bearings as mobile device 100 travels indifferent directions, an intersection of the multiple bearings indicatesto mobile device 100 a location of RF leak 104.

FIG. 14 is a block diagram of mobile device 100 in another exemplaryembodiment. In this embodiment, mobile device 100 is able to identify alocation of RF leak 104 by analyzing an absolute delay between thetransmission of RF test signal 106 and the reception of RF signal 110 bymobile device. As antenna 108 of mobile device 100 is brought closer toRF leak 104, a phase angle 1402 of RF signal 110 decreases to a minimumvalue at point 1404, which indicates that antenna 108 of mobile device100 is proximate to RF leak 104.

In another embodiment, mobile device 100 is capable of detectinginformation about RF leaks utilizing multiple spatial cones that are notlocated at the origin, which is illustrated in FIG. 15. In thisembodiment, spatial cone 1502 is located along the y-axis, and spatialcone 1504 is located along the x-axis. However, spatial cone 1504 is notlocated at the origin (0,0) in this embodiment. Rather, spatial cone1504 is located some distance (d) along the x-axis from the origin,which places a location of RF leak 104 somewhere on a circle that iscreated when spatial cone 1502 intersects spatial cone 1504. In thisembodiment, θ₄ and θ₅ are different angles.

As discussed previously, an accurate source clock onboard mobile device100 may be utilized in order to accurately identify subtle changes inthe phase angle and/or the frequency of RF signal 110. One of thechallenges in leakage detection is the use of a very stable referencesignal source. This may be provided by using a Rubidium-based orCesium-based frequency standard, which are commercially available.Another approach is the use a GPS-referenced clock.

These challenges may be mitigated by transmitting an RF test signal witha built-in reference. One option includes the use of two CW RF testsignals separated by a fixed frequency, such as 10 MHz. Other optionsinclude the use of modulation, such as Amplitude Modulation (AM) orBinary Phase Shift Keying (BPSK), or downstream DOCSIS® 3.1 signalswhich can have a bandwidth nearing 200 MHz.

At mobile device 100, the RF signals could be demodulated to derive theclock, which would be used to as a reference for mobile device 100. Iftwo tones were used, they could be mixed together to produce a lowerstable reference. The current Ettus B200 Software Defined Radio (SDR)receiver uses a 10 MHz reference. The recovered symbol clock ordifference frequency can be used to lock-up a phased lock loop (PLL)generating a stable 10 MHz.

Using RF test signals with a built-in reference works even when there isDoppler shift, because the frequency of the modulation is not stronglyaffected by Doppler. Instead, the center frequency will be affected.Ideally you want the modulated signal, or two CW RF test signals, to beclose enough in frequency to have very similar transmission pathcharacteristics. One possible range for the recovered clock is 0.1-200MHz. After recovering a stable clock, either or both tones can bedemodulated into IQ data samples. The stable clock may also be derivedfrom a data signal, such as a DOCSIS 3.1 OFDM® downstream signal.

A problem arises when there is more than one signal source, or onesignal source is reflecting and producing multipath. In this RFenvironment the trajectory of the IQ plot is no longer circular, butappears to move randomly, sometimes temporarily passing through theorigin at a location where all received signals cancel due to vectorphase addition or subtraction. The presence of multiple sources and bedetected by measuring and saving IQ values at uniform distances whilethe antenna is traveling in a straight line. Mobile device 100 mayperform Fourier transform such as a Discrete Fourier Transform (DFT) ora FFT on saved IQ data 114 to generate transformed data, which mayreveal if multiple RF leaks or reflections are present. Ideally thesamples are evenly spaced and the numbers of samples is 2 raised to aninteger power, and all sample locations taken while antenna 108 istraveling in a straight line. Optionally the set of samples may bewindowed to reduce a characteristic called leakage. After windowing thedata set is transformed using a DFT. The data are analyzed and more datais gathered. If, for example a 64 point Fourier transform is beingperformed, a smoother display can be obtained by replacing some of theolder samples with newer samples. Use of a windowing technique beforeperforming a Fourier transform reduces leakage and produces clearerpeaks in the transform. This test method may be viewed as a type ofsynthetic phased array.

Utilizing the various analytical techniques described, locating andmitigating RF leaks in coaxial cables of a cable plant can be performedmore quickly and efficiently. This allows the cable operator of thecable plant to unsure that the RF leakage levels enforced by the FCC arein compliance.

Any of the various elements shown in the figures or described herein maybe implemented as hardware, software, firmware, or some combination ofthese. For example, an element may be implemented as dedicated hardware.Dedicated hardware elements may be referred to as “processors”,“controllers”, or some similar terminology. When provided by aprocessor, the functions may be provided by a single dedicatedprocessor, by a single shared processor, or by a plurality of individualprocessors, some of which may be shared. Moreover, explicit use of theterm “processor” or “controller” should not be construed to referexclusively to hardware capable of executing software, and mayimplicitly include, without limitation, digital signal processor (DSP)hardware, a network processor, application specific integrated circuit(ASIC) or other circuitry, field programmable gate array (FPGA), readonly memory (ROM) for storing software, random access memory (RAM),non-volatile storage, logic, or some other physical hardware componentor module.

Also, an element may be implemented as instructions executable by aprocessor or a computer to perform the functions of the element. Someexamples of instructions are software, program code, and firmware. Theinstructions are operational when executed by the processor to directthe processor to perform the functions of the element. The instructionsmay be stored on storage devices that are readable by the processor.Some examples of the storage devices are digital or solid-statememories, magnetic storage media such as a magnetic disks and magnetictapes, hard drives, or optically readable digital data storage media.

In one embodiment, the invention is implemented in software, whichincludes but is not limited to firmware, resident software, microcode,etc. FIG. 16 illustrates a computing system 1600 in which a computerreadable medium 1606 may provide instructions for performing any of themethods disclosed herein.

Furthermore, the invention can take the form of a computer programproduct accessible from the computer readable medium 1606 providingprogram code for use by or in connection with a computer or anyinstruction execution system. For the purposes of this description, thecomputer readable medium 1606 can be any apparatus that can tangiblystore the program for use by or in connection with the instructionexecution system, apparatus, or device, including the computer system1600.

The medium 1606 can be any tangible electronic, magnetic, optical,electromagnetic, infrared, or semiconductor system (or apparatus ordevice). Examples of a computer readable medium 1606 include asemiconductor or solid state memory, magnetic tape, a removable computerdiskette, a random access memory (RAM), a read-only memory (ROM), arigid magnetic disk and an optical disk. Some examples of optical disksinclude compact disk-read only memory (CD-ROM), compact disk-read/write(CD-R/W) and DVD.

The computing system 1600, suitable for storing and/or executing programcode, can include one or more processors 1602 coupled directly orindirectly to memory 1608 through a system bus 1610. The memory 1608 caninclude local memory employed during actual execution of the programcode, bulk storage, and cache memories which provide temporary storageof at least some program code in order to reduce the number of timescode is retrieved from bulk storage during execution. Input/output orI/O devices 1604 (including but not limited to keyboards, displays,pointing devices, etc.) can be coupled to the system either directly orthrough intervening I/O controllers. Network adapters may also becoupled to the system to enable the computing system 1600 to becomecoupled to other data processing systems, such as through host systemsinterfaces 1612, or remote printers or storage devices throughintervening private or public networks. Modems, cable modem and Ethernetcards are just a few of the currently available types of networkadapters.

FIG. 17 is a diagram 1700 illustratively representing a cable 1704within a cable plant that has damage to the cable's shield, which causesit to act as a stationary leakage antenna 1710. Such damage is common incable plants and may be caused by, for example, corrosion, stressfractures, animal chews, technician error, and construction vehicleerror.

The cable 1704 transports a leakage test signal 1702, and example ofwhich is a stable continuous wave (CW) carrier or other deterministicsignal, such as a DOCSIS 3.1 signal with pilots. The leakage test signalradiates to a mobile test antenna 1706 which is connected to a complexdemodulator mobile receiver 1708, at a first antenna location 1716. Thecomplex demodulator 1708 produces an in-phase (I) and quadrature (Q)signal sample for each of ‘N’ incremental steps 1711 over a syntheticphased array (SPA) distance 1712 as the receive antenna 1706 moves. Inone example, incremental steps 1711 are separated by 15 cm and thenumber of incremental steps ‘N’ is an integer value such as 8 (as shownin FIG. 17) or 128, or may be, for example, 2 raised to some integerexponent. The samples are each processed by a well-known discreteinverse Fourier transform, the output of which is a set of Dopplerfrequencies.

In one embodiment, the mobile receive antenna 1706 were moving directlytowards a leakage antenna 1710 at a velocity of 40 meter/sec and the CWtest signal frequency is 900 MHz. The test signal's wavelength isreadily computed as 3E8 meters per second (speed of light) divided by900E6 Hz=0.333 meters. The Doppler frequency can then be computed as40/0.333 or 120 Hz. However, if the Doppler frequency is a lower value,such as 80 Hz (at the 40 meter/sec antenna velocity), the mobile receiveantenna 1706 is not moving directly towards the leakage antenna 1710,but moving at an angle to the leakage antenna 1710. A bearing angle 1714(or bearing angle 1720) may be calculated as Acos(80/120)=48.19 degrees.

Test antenna 1706 them moves to a second antenna location 1718 separatedby a distance 1722 at which point second set of I-Q samples isgenerated. The second set of I-Q samples is then processed by a Fouriertransform and, as described above for the first set of I-Q samples, asecond bearing angle 1720 is produced using known methods. Theintersection point of bearing angle 1714 from antenna location 1716 andbearing angle 1720 from antenna location 1722 shows the location of theleakage antenna 1710.

In practice, many bearing angles can be computed from many antennalocations, increasing the accuracy of the determination of the locationof leakage source 1710 by averaging. Likewise a larger value of ‘N’produces improved bearing angle resolution.

In one embodiment, mobile receiver 1708 is a software defined radio(SDR) such as Ettus Model B210 connected to a computing device, such asa portable computer, Raspberry Pi, O-Droid computing device, or similardevice.

In an embodiment, mobile receive antenna 1706 is an L-com monopole withomnidirectional antenna pattern, or similar.

To achieve the necessary stability of both the leakage test signal 1702and mobile receiver 1708 a Rubidium test standard may be employed. Forexample a Frequency Electronics Model 5680A may be used in bothstationary and mobile locations. Alternately a GPS (global positioningsystem) disciplined oscillator, such as offered by Trimble Navigation,may be employed for the stable frequency references.

One complication can occur when mobile receive antenna 1706 travels in astraight line such that ambiguity is created regrading which side of theroad a leakage signal is on, that is, the intersections of bearingangles 1714, 1720 produced by the Acos function create a real locationand a false location of leakage signal 1710. The bearing angle isactually half of the apex angle of a solid three dimensional cone, wherethe apex of the cone is antenna location 1716 or antenna location 1718.A three dimensional cone will intersect the ground along two lines, andthe false line needs to be eliminated.

If the path of the test antenna wavers, such as when a vehicle carryingthe equipment turns or changes lanes, the intersection points willconverge in the correct direction and diverge in the false direction.

In another embodiment (similar to that shown in the transmit embodimentof FIG. 18), a second mobile receive antenna (not shown but similar tothe second mobile receive antenna 1806B in FIG. 18) is locate proximateto the first mobile receive antenna 1706 and connected to another secondmobile receiver. The mobile receive antenna may be placed alongsidemobile receive antenna 1706 at, for example, a separation distance of1-1.5 meters. The relative phase shifts between the mobile receivers1708 and the second mobile receiver reveals the direction of a leakagesource. That is, the leakage source will be on the side that experiencesa higher Doppler frequency as the leakage antenna 1710 is passed.

In another embodiment, two antennas are connected to a switch, such asan electronic double pole switch, that multiplexes or alternativelyconnects the two antennas to a single receiver, such that only a singlereceive is required thereby reducing cost of implementation. In a singlereceiver embodiment, a computer that receives data from the SDR(discussed above) may control the switch between the two antennas. Byeither adding additional antenna feed cable to one antenna or modifyingantennas positions such that one is slightly forward of the other, themeasurement points can be made at the same horizontal location as shownin FIG. 17. This could be done for cost reduction, power reduction, orweight reduction such as may be beneficial in an airborne, terrestrial,or cable “walking” drone implementation.

Usable with a GPS configured system, although not illustrated, is a GPSdata logger receiver for recording antenna position as measurements aremade such that data point may be geographically located. One example ofsuch a PGS data logger received is a Columbus model V-800. From the GPSdata the latitude, longitude values of leakage antennas, such as leakageantenna 1710 is located and recorded. It is also useful to record thestrength of the leakage signal as well as the drive path that the mobilereceive antenna 1706 took, date, and time.

It should be noted that the use of a CW carrier test signal with a SPAprovides for extreme sensitivity due to the narrow receiver noisebandwidth, and the processing gain and directional properties of theSPA.

The embodiment described in FIG. 17 may be utilized in multiple ways. Itcan be carried by a human or placed on a cart, where an accelerometermay cooperate with the system to provide uniform I-Q samples. Thepresent system and method may also be mounted on a vehicle, examples ofwhich include by are not limited to a cable service vehicle, a taxi, ora delivery vehicle. Likewise the embodiment can be flown by a mannedaircraft or drone. When aerial, geometry considerations vary relative toground testing. For example, when driving the 3-D cone intersects withthe ground along a “V” shape. However, when flying the ground(containing the leakage antenna) intersects slices the 3-D cone along ahyperbola, assuming level flight. So geometric leakage calculations aremade in three dimensions or four dimensions when time is included.

Testing can be automatic, where a driver of a vehicle is not aware testdata is being gathered. In this mode the collected leakage data can beuploaded over a wireless link, for example, when the vehicle is parkednear a wireless data receiving unit.

The data obtained by leakage detection can be manually or automaticallyplaced into a data base and processed. By way of example, processing mayfocus on proactive network maintenance, troubleshooting interferencewith wireless services, or tracking new leaks or leaks that vary withtime and weather.

Research has indicated that cable leakage severity depends on afrequency of a test signal. Thus it is valuable to test at differentfrequencies. This can be done by changing the frequency of the testsignal periodically. The antenna 1706 can be changed out for a newfrequency antenna or a multiband antenna can be used. Alternately, anantenna may be used at a non-specified frequency and a correction factorcan be applied to the recorded data.

FIG. 18 shows environment 1800 with the antenna system similar to thatof FIG. 17 configured on a truck. The antenna reciprocity theorem statesthat the transmit and receive properties of associated antennas areidentical. Hence, it is also possible to transmit from one or moremoving antennas and receive at the leakage antenna.

In the embodiment of FIG. 18, a mobile transmit antenna 1806 is mountedon a vehicle 1814, traveling down a road 1822, and emitting a testsignal 1802. The test signal 1802 is received by a receive leakageantenna 1810 created by a shield break 1824. Test signal 1802, which maybe a CW carrier, is generated by a moving test signal transmitter 1818.The received test signal is received at leakage antenna 1820 andpropagates through cable line 1804 to a stationary receiver 1826. Thestationary receiver 1826 may be at a fiber node, a hub site, a headend,in a home, or placed in the system for the present testing procedure. Asmobile test antenna 1806 drives past leakage antenna 1810 Doppler shiftinformation is collected at stationary receiver 1826, similar to themoving receiver embodiment, discussed above.

One complexity in the transmit system is determining the exact travelpath and timing of the mobile transmit antenna 1806 relative to thereception of the leakage test signal by the stationary receiver 1826. Aposition transmitting antenna 1812 may optionally be configured withvehicle 1814 such that it travels with moving transmit antennas 1806,1806B. Antenna 1812 functions to send a position carrier 1816 with thelatitude, longitude, and velocity of the vehicle 1814 to a positionreceiver, not shown. In another embodiment leakage antenna 1810 alsoreceives the position carrier 1816. If nearby frequency band to the testsignal's frequency is utilized for the position carrier 1816, a commonsingle antenna may be used for both test signal 1802 and positioncarrier 1816 by combining the transmitted signals before connecting themto the common single antenna.

Note that the present transmit system, which utilizes a single testsignal 1802 from a single mobile transmit antenna 1806, has a similarleft-right ambiguity problem as the embodiment discussed in FIG. 17.This problem can be similarly resolved by locating a second mobiletransmit antenna 1806B on vehicle 1814 proximate to antenna 1806. Testsignal 1802 can be switched between transmitting antennas 206 and 206Brapidly by switch 220. The stationary receiver would synchronouslyswitch output streams, recovering interleaved I-Q samples from bothantennas at different times.

FIG. 19 is plot diagram 1900 that illustrates two Doppler shift vs.distance plots. It will be understood that the distance axis of plotdiagram 1900 may be adapted to time if velocity is uniform over a givenspan. FIG. 19 is discussed in relationship to FIG. 18 and should be readas such.

A first plot 1902 is produced from mobile transmitting antenna 1806 whenit is at a first closer distance from shield break 1824. A second plot1904 is produced from mobile transmitting antenna 1806B when it is at asecond farther distance from shield break 1824.

In an embodiment, a switch may be utilized to change between transmitantennas 1806, 1806B every 15 cm such that the SPA distances for eachantenna 112 overlap. The antenna closer to leakage antenna 1810 (antenna1806 in FIG. 18) has an increased Doppler frequency change relative tothe antenna farther away (antenna 1806B in FIG. 18) due to fasterrotation of phase. This feature makes it possible to eliminate the falseleak image. Note that when the antenna's bearing angles are 90 degreesthe plots will cross.

In an embodiment, the present system and method may provide additionalinformation to stationary receiver 1826 to instruct it as to whichantenna's signal is currently being received. For example antenna 1806may be configured to transmit slightly longer than antenna 1806B byvarying the duty cycle of switch 212 from 50-50 to 55-45.

The distance point of plot 1900 where the Doppler frequency goes throughzero (hereinafter, zero point 1906) represents where the shield break isat right angles to the travel path of the antennas 1806, 1806B. Notethat when the leakage antenna is far away from the antenna, the Dopplerfrequency approaches +F 1908 or −F 1910, which can be calculated fromthe wavelength and antenna velocity.

Note that test signals travel at almost the speed of light, but theantenna velocity is much, much lower. The antenna velocity is used forDoppler frequency calculations. If a test antenna is driving at 40meters per second, and the antenna acquires I-Q data point every 15 cmthen the capture rate is one sample every 3.75 ms. Assuming a leakantenna, such as leakage antenna 1810, is 100 meters away from themobile antenna, such as antenna 1806, 1806B, then the signal transittime between then is approximately 0.000333 ms, which can be consideredvirtually instantaneous.

If it is desired to have a constant distance between synthetic phasedarray elements, such as 15 cm, sampling rates can be sped up as antennavelocity increases. Testing can even be done semi-statically if desired.That is, an I-Q measurement is made, the antenna is moved 15 cm andanother I-Q measurement is made, which continues until enough samplesare captured to perform a Fourier transform and make a SPA.

FIG. 20 is a diagram 2000 that illustrates a hand holdable antenna 2004with one or more accelerometers 2006 in a base 2007, and areceiver/computing/display device 2008. The embodiment of FIG. 20 isprimarily intended for indoor leakage antenna location, as may beutilized inside a home or apartment building, although it alsofunctional outdoors. As a technician (not shown) moves antenna 2004,received signal values are sent to receiver 2008 and accelerometervoltage samples, from accelerometer(s) 2006 are simultaneously sent toreceiver 2008 over cable 2010. The three X, Y, and Z axes 2012 ofantenna 2004 are located by computation elements within receiver 2008utilizing the accelerometer data and received data. As the techniciantraces a circle with the antenna horizontally in an X-Z plane, the I-Qfield strength values are recorded, along with the position of theantenna. This process may be repeated in the X-Y plane and in the Y-Zplanes, forming a three dimensional (3-D) field strength map. From thefield strength map the direction to the leakage antenna(s) may bedetermined. Indoor locations are frequently more difficult to analyzethan outdoor applications because the leakage signal suffers multipathdistortion, as well as diffraction.

Another motion pattern that the technician can use for antenna 2004 is astraight line in each of the X, Y, and Z axes. Processing can be done asdiscussed in the parent (allowed) application.

Yet another motion pattern that the technician can use is a zig-zagpattern where a two dimensional plane of (relatively) evenly-spacedsamples are captured. Samples are captured while antenna is movedleft-to-right while holding the forward position steady. Next, theantenna is advanced and moved right-to-left to get another set ofsamples. This is repeated until a test area is covered. This set ofsamples may be transformed with a 2-dimension IFFT to reveal thedirection to a leakage signal. Likewise this technique can be used in3-dimensions. While a computer-controlled actuator can give moreaccurate sample spacing relative to a human moving the antenna, theerrors produced by a human moving the antenna can be reduced byinterpolation.

The hardware and software utilized in the embodiment of FIG. 20 aresimilar to that described above for the many other embodiments.

Changes may be made in the above methods and systems without departingfrom the scope hereof. It should thus be noted that the matter containedin the above description or shown in the accompanying drawings should beinterpreted as illustrative and not in a limiting sense. The followingclaims are intended to cover all generic and specific features describedherein, as well as all statements of the scope of the present method andsystem, which, as a matter of language, might be said to fall therebetween.

1. A system for locating one or more leakage antennas radiating aleakage signal from a cable plant, comprising: a first mobile testantenna connected to a mobile receiver producing I and Q samples as themobile test antenna moves a synthetic phased array (SPA) distance; aFourier transformer module for converting a first set of I and Q samplesinto a first set of Doppler frequency components associated with a firsttest antenna location and a second set of I and Q samples into a secondset of Doppler frequency components associated with a second antenna; aconversion module configured to convert the first set of Dopplerfrequency components into first bearing angle associated with the firsttest antenna location and the second set of Doppler frequency componentsinto second bearing angle associated with the second antenna location;wherein the location of the one or more leakage antennas is determinedas the locations where said first bearing angle from the first testantenna location intersect said second bearing angle from the secondtest antenna location.
 2. A system according to claim 1, furthercomprising a second mobile test antenna connected to second mobilereceiver that produces a third set of I and Q samples which is processedto resolves left-right location ambiguity.
 3. A system according toclaim 1, further comprising a second mobile test antenna and a switchconnecting said first mobile test antenna and said second mobile testantenna to said receiver, the receiver alternately connecting the firstmobile test antenna and the second mobile test antenna to the receiver.4. A system according to claim 1, further comprising changing testsignal frequencies to determine the severity of the one or more leakageantennas.
 5. A system for detecting one or more leakage antennas thatreceive a first transmitted test signal, comprising: a mobile transmitantenna connected to the first transmitted test signal transmitter fortransmitting the first transmitted test signal; a stationary receiverand processing unit connected to the one or more leakage antennas forreceiving and processing mobile transmit antenna generated signals andproducing a first and second set of I and Q samples as a result of saidprocessing; a location processing unit for determining the location of afirst test antenna location and a second test antenna location; and aFourier transformer processing unit for converting the first set of Iand Q samples into a first set of Doppler frequency componentsassociated with the first test antenna location and converting thesecond set of I and Q samples into a second set of Doppler frequencycomponents associated with the second test antenna location; and abearing angle processing unit configured to convert of first set ofDoppler frequency components into first bearing angle associated withthe first test antenna location and the second set of Doppler frequencycomponents into a second bearing angle associated with the second testantenna location; wherein the location of the leakage antenna isdetermined as the locations where said first bearing angles from firsttest antenna location intersect said second bearing angles from secondtest antenna location.
 6. A system according to claim 5, furthercomprising a second mobile transmit antenna which transmits a secondtransmitted test signal which is received at the one or more leakageantennas and stationary receiver and is processed by the processing unitto resolves left-right location ambiguity.
 7. A system according toclaim 5, further comprising a data storage unit for recording leakagedata.
 8. A system according to claim 7, wherein leakage data isautomatically recorded when mobile transmit antenna is in a region withthe first or second transmitted test signal, and data gathering issuspended when said mobile transmit antenna is outside the region withthe first or second transmitted test signal.
 9. A system according toclaim 1, further comprising a GPS data logger for associating latitudeand longitude data with the one or more leakage antennas.